{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Anomaly Detection Using RNN"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Anomaly detection detects data points in data that does not fit well with the rest of data. In this notebook we demonstrate how to do unsupervised anomaly detection using recurrent nueral network (RNN) model.\n",
    "\n",
    "We used one of the dataset in Numenta Anomaly Benchmark (NAB) ([link](https://github.com/numenta/NAB)) for demo, i.e. NYC taxi passengers dataset, which contains 10320 records, each indicating the total number of taxi passengers in NYC at a corresonponding time spot. We use RNN to learn from 50 previous values, and predict just the 1 next value. The data points whose actual values are distant from predicted values are considered anomalies (distance threshold can be adjusted as needed).\n",
    "  \n",
    "References: \n",
    "* Unsupervised real-time anomaly detection for streaming data ([link](https://www.sciencedirect.com/science/article/pii/S0925231217309864))."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Intialization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* import necesary libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:26:17.874961Z",
     "start_time": "2020-04-08T03:26:17.858278Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Prepending /home/ding/anaconda3/envs/conda_py36/lib/python3.6/site-packages/bigdl/share/dllib/conf/spark-bigdl.conf to sys.path\n",
      "pyspark_submit_args is:  --driver-class-path /home/ding/anaconda3/envs/conda_py36/lib/python3.6/site-packages/bigdl/share/dllib/lib/bigdl-dllib-2.1.0-SNAPSHOT-jar-with-dependencies.jar pyspark-shell \n",
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "from bigdl.dllib.nncontext import *\n",
    "sc = init_nncontext(\"Anomaly Detection Example\")\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib\n",
    "matplotlib.use('Agg')\n",
    "%pylab inline\n",
    "import seaborn\n",
    "import matplotlib.dates as md\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "from sklearn import preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* import necessary modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:26:19.600450Z",
     "start_time": "2020-04-08T03:26:19.582282Z"
    },
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "from bigdl.dllib.keras.layers import Dense, Dropout, LSTM\n",
    "from bigdl.dllib.keras.models import Sequential"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Check"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* read data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:26:20.608854Z",
     "start_time": "2020-04-08T03:26:20.594253Z"
    }
   },
   "outputs": [],
   "source": [
    "try:\n",
    "    dataset_path = os.getenv(\"BIGDL_HOME\")+\"/bin/data/NAB/nyc_taxi/nyc_taxi.csv\"\n",
    "    df = pd.read_csv(dataset_path)\n",
    "except Exception as e:\n",
    "    print(\"nyc_taxi.csv doesn't exist\")\n",
    "    print(\"you can run $BIGDL_HOME/bin/data/NAB/nyc_taxi/get_nyc_taxi.sh to download nyc_taxi.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Understand the data.\n",
    "\n",
    "Each record is in format of (timestamp, value). Timestamps range between 2014-07-01 and 2015-01-31. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:26:21.012761Z",
     "start_time": "2020-04-08T03:26:21.002577Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10320 entries, 0 to 10319\n",
      "Data columns (total 2 columns):\n",
      " #   Column     Non-Null Count  Dtype \n",
      "---  ------     --------------  ----- \n",
      " 0   timestamp  10320 non-null  object\n",
      " 1   value      10320 non-null  int64 \n",
      "dtypes: int64(1), object(1)\n",
      "memory usage: 161.4+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(df.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:26:21.199319Z",
     "start_time": "2020-04-08T03:26:21.195033Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    2014-07-01 00:00:00\n",
      "1    2014-07-01 00:30:00\n",
      "2    2014-07-01 01:00:00\n",
      "3    2014-07-01 01:30:00\n",
      "4    2014-07-01 02:00:00\n",
      "5    2014-07-01 02:30:00\n",
      "6    2014-07-01 03:00:00\n",
      "7    2014-07-01 03:30:00\n",
      "8    2014-07-01 04:00:00\n",
      "9    2014-07-01 04:30:00\n",
      "Name: timestamp, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# check the timestamp format and frequence \n",
    "print(df['timestamp'].head(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:26:21.385768Z",
     "start_time": "2020-04-08T03:26:21.382149Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15137.569379844961\n"
     ]
    }
   ],
   "source": [
    "# check the mean of passenger number \n",
    "print(df['value'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:26:21.805361Z",
     "start_time": "2020-04-08T03:26:21.632221Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# change the type of timestamp column for plotting\n",
    "df['datetime'] = pd.to_datetime(df['timestamp'])\n",
    "\n",
    "# visualisation of anomaly throughout time (viz 1)\n",
    "fig, ax = plt.subplots(figsize=(12, 5))\n",
    "\n",
    "ax.plot(df['datetime'], df['value'], color='blue', linewidth=0.6)\n",
    "ax.set_title('NYC taxi passengers throughout time')\n",
    "\n",
    "plt.xlabel('datetime')\n",
    "plt.xticks(rotation=45) \n",
    "plt.ylabel('The Number of NYC taxi passengers')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature engineering"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Extracting some useful features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:26:22.253314Z",
     "start_time": "2020-04-08T03:26:22.245858Z"
    }
   },
   "outputs": [],
   "source": [
    "# the hours when people are awake (6:00-00:00)\n",
    "df['hours'] = df['datetime'].dt.hour\n",
    "df['awake'] = (((df['hours'] >= 6) & (df['hours'] <= 23)) | (df['hours'] == 0)).astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:26:22.602051Z",
     "start_time": "2020-04-08T03:26:22.451886Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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cckrF+c+bN49HH32UCRMmcN555wFw5513Mnv2bGbMmMHNN9/M448/vtp4Rx11FCNGjOCWW25h2rRp9OzZc5X+H3zwAQceeCDTp0+nd+/enH/++TzwwAPcddddXHDBBQDccMMN9OnTh6eeeoqnnnqK6667jldead0/OCtA0ZCZdXa9evVi6tSpTJo0iYcffpivfe1rXHrppZx00kkrhnniiSeYMWMGe++9NwCffvopI0eO5MUXX+T555/noIMOAtIV9qabbrpivGOPPRaA/fbbj/fff5+FCxeuNv8jjjiCLl26MHjwYObPnw/Ao48+ytFHH02XLl347Gc/ywEHHNDs5Vp33XU5+OCDARg6dCjdu3enW7duDB06lNmzZwPpLufZZ59dcbfx3nvvMXPmzBa/M1CJE4GZdQpdu3Zl1KhRjBo1iqFDh3LTTTetkggigoMOOohx48atMt5zzz3HkCFDKl6xw+o/vaz0U8yGIqmG+bSWbt26rZhfly5dVsynS5cuLF26dMX8fvaznzF69OhWm285Fw2ZWYf34osvMnPmzBXt06ZNY+DAgasMs+eee/LYY4/x8ssvA6nY5aWXXmLHHXfkrbfeWpEIlixZwvTp01eMd9tttwHpCr9Pnz706dOnppj23ntv7rjjDpYvX878+fOZOHFixeF69+7NokWLal7WcqNHj+bqq69myZIlALz00kt88MEHLZ5eJb4jMLMWaNtf3i1evJgzzzyThQsXss4667Dddttx7bXXrjJM//79GTt2LMceeyyffPIJAJdccgk77LAD48eP56yzzuK9995j6dKlnHPOOQwZMgRI9fTssssuLFmyhBtvvLHmmL761a/y4IMPMnjwYLbYYguGDx9eMYmcdNJJnH766fTs2bPqXUljTj31VGbPns3w4cOJCPr378/dd9/d7Ok0plP8Z/GIESOi5b8T9s9HzdbUCy+8wOc+97n2DqPVjRo1issvv5wRI0a0aPzFixfTq1cv3n77bXbffXcee+wxPvvZz7ZylLWptI0kTY2IJhfOdwRmZi106KGHsnDhQj799FN++MMftlsSWFNOBGZWWNXK9dtq/I7CD4vNzArOicDMrOCcCMzMCs6JwMys4JwIzKz5pNb91Ojuu+9GEn/+85/XeBFKK5ZrybgdvWrp5nAiMLNOY9y4ceyzzz6rVSPR1soTwfXXX8/gwYPbMaI140RgZp3C4sWLefTRR7nhhhu49dZbgVSB3NZbb01EsHDhQrp27cojjzwCpErkZs6cyeTJkxk5ciS77LILe+21Fy+++OJq077vvvsYOXIkCxYsqFqVdYPOUrV0czgRmFmncM8993DwwQezww470LdvX6ZOnUrXrl3ZcccdmTFjBo8++ijDhw9n0qRJfPLJJ8yZM4ftt9+eQYMGMWnSJJ555hkuvvhivv/9768y3bvuuotLL72U3/3udwAVq7Iu1Vmqlm4Ov1BmZp3CuHHjOPvsswE45phjGDduHLvuuiv77rsvjzzyCK+88gpjxozhuuuuY//992e33XYDUrXNJ554IjNnzkTSisrbAB566CGmTJnC/fffzwYbbMCECRMqVmXdHB2launmcCIwsw7vnXfe4aGHHuK5555DEsuWLUMSl112Gfvttx9XX301r7/+OhdffDGXXXYZEydOZN999wXghz/8IQcccAB33XUXs2fPZtSoUSumu+222zJr1ixeeuklRowYUbUq6+boKFVLN4eLhsyswxs/fjzHH388r776KrNnz2bOnDlsvfXWTJo0id13350//vGPdOnShR49ejBs2DCuueYa9ttvPyBdbW+++eZAeshbauDAgdxxxx2ccMIJTJ8+vWpV1uU6Q9XSzVH3RCCpq6RnJE3I7VtLelLSy5Juk7RuvWMws1YW0bqfJowbN44jjzxylW5f/epXGTduHN27d2eLLbZgzz33BGDfffdl0aJFDB06FIDvfve7jBkzhl122WXFFXmpQYMGccstt3D00Ufz/vvvr6jKeuedd2bkyJEVf6raULV0w8Pi5jr11FMZPHgww4cPZ6edduKb3/xmxdjaSt2roZb0j8AIYIOIOFTS7cCdEXGrpF8Cf4qIqxubhquhNmtfa2s11GuTNamGuq53BJIGAH8NXJ/bBRwIjM+D3AQcUc8YzMyscfUuGroK+C6wPLf3BRZGRMM90Fxg80ojSjpN0hRJU9566606h2lmVlx1SwSSDgXejIipLRk/Iq6NiBERMaJ///6tHJ2ZNVdn+DfDolrTbVPPn4/uDRwm6RCgB7AB8O/AhpLWyXcFA4DX6hiDmbWCHj168Pbbb9O3b98VP420jiEiePvtt+nRo0eLp1G3RBARY4AxAJJGAd+JiOMk/RY4CrgVOBG4p14xmFnrGDBgAHPnzsXFtB1Tjx49GDBgQIvHb48Xyr4H3CrpEuAZ4IZ2iMHMmqFbt27t9tar1V+bJIKImAhMzM2zgN3bYr5mZtY0VzFhxVapvNsPRa1gXMWEmVnBORGYmRWcE4GZWcE5EZiZFZwTgZlZwTkRmJkVnBOBmVnBORGYmRWcE4GZWcE5EZiZFZwTgZlZwTkRmJkVnBOBmVnBORGYmRWcE4GZWcE5EZiZFZwTgZlZwTkRmJkVnBOBmVnBORGYmRWcE4GZWcE5EZiZFZwTgZlZwTkRmJkVnBOBmVnBORGYmRWcE4GZWcE5EZiZFZwTgZlZwTkRmJkVnBOBmVnBORGYmRWcE4GZWcE1mQgkrS+pS27eQdJhkrrVPzQzM2sLtdwRPAL0kLQ5cD9wPDC2nkGZmVnbqSURKCI+BL4C/CIijgaG1DcsMzNrKzUlAkkjgeOA+3K3rjWM1EPSZEl/kjRd0kW5+9aSnpT0sqTbJK3b8vDNzGxN1ZIIzgbGAHdFxHRJ2wAP1zDeJ8CBEfFXwDDgYEl7Aj8BroyI7YB3gW+0KHIzM2sVtSSCTSLisIj4CUBEzAImNTVSJItza7f8CeBAYHzufhNwRHODNjOz1lNLIhhTY7fVSOoqaRrwJvAA8BdgYUQszYPMBTavMu5pkqZImvLWW2/VMjszM2uBdar1kPQl4BBgc0n/UdJrA2Bp5bFWFRHLgGGSNgTuAgbVGlhEXAtcCzBixIiodTwzM2ueqokAeB2YAhwGTC3pvgj4h+bMJCIWSnoYGAlsKGmdfFcwAHiteSF3RqrQzbnNzDqGqokgIv4E/EnS/4uIJc2dsKT+wJKcBHoCB5EeFD8MHAXcCpwI3NOiyM3MrFU0dkfQYHdJFwID8/AiPQveponxNgVuktSV9Czi9oiYIGkGcKukS4BngBtaHL2Zma2xWhLBDaSioKnAslonHBHPArtU6D4L2L3W6ZiZWX3Vkgjei4j/rnskZmbWLmpJBA9Lugy4k/SSGAAR8XTdojIzszZTSyLYI3+PKOnW8GKYmZl1ck0mgog4oC0CMTOz9tFkIpB0QaXuEXFx64djZmZtrZaioQ9KmnsAhwIv1CccMzNra7UUDf20tF3S5cD/1i0iMzNrUy35z+L1SFVDmJnZWqCWZwTPsbJinK5Af8DPB8zM1hK1PCM4tKR5KTC/pBppMzPr5JosGoqIV4ENgS8DRwKD6xyTmZm1oSYTgaSzgVuAz+TPLZLOrHdgZmbWNmopGvoGsEdEfAAg6SfA48DP6hmYmZm1jVp+NSRWrXV0GZX/acXMzDqhWu4IfgU8Kemu3H4E/g8BM7O1Ri0vlF0haSKwT+50ckQ8U9eozMyszdTyHsGewPSGaqclbSBpj4h4su7RmZlZ3dXyjOBqYHFJ++LczczM1gI1PSyOiIY3i4mI5dT2bMHMzDqBWhLBLElnSeqWP2cDs+odmJmZtY1aEsHpwF7Aa8Bc0j+WnVbPoMzMrO3U8quhN4Fj2iAWMzNrBy2phtrMzNYiTgRmZgXnRGBmVnBVnxFI+sfGRoyIK1o/HDMza2uNPSzunb93BHYD7s3tXwYm1zMoMzNrO1UTQURcBCDpEWB4RCzK7RcC97VJdGZmVne1PCPYBPi0pP3T3M3MzNYCtVQV8Wtgclk11GPrFZCZmbWtRhOBJJESwX8D++bOrobazGwt0mgiiIiQ9LuIGAo83UYxmZlZG6rlGcHTknareyRmZtYuanlGsAdwnKRXgQ9I/1ccEbFzXSMzM7M2UUsiGF33KMzMrN00WTQUEa8CG5JeJPsysGHuZmZma4EmE0H+I5pbgM/kz28knVnDeFtIeljSDEnT83SQtLGkByTNzN8brelCmJlZy9XysPgbwB4RcUFEXADsCfxdDeMtBf4pIgbncb4laTBwHvBgRGwPPJjbzcysndT0n8XAspL2ZblboyJiXkQ8nZsXAS8AmwOHAzflwW4ivaBmZmbtpJaHxb8Cnix7s/iG5sxE0lbALsCTwCYRMS/3eoMq1VVIOo38l5hbbrllc2ZnZmbNUMvD4iuAk4F38ufkiLiq1hlI6gXcAZwTEe+XTTuAqDLfayNiRESM6N+/f62zMzOzZmryjkDSnsD0hmIeSRtI2iMinqxh3G6kJHBLRNyZO8+XtGlEzJO0KfDmGsRvZmZrqJZnBFcDi0vaF+dujcr1FN0AvFD2Jzb3Aifm5hOBe2oL1czM6qGWZwTKRTgARMRySbWMtzdwPPCcpGm52/eBS4HbJX0DeBX4m+aFbLaWUYXfXkTFElOzuqjlhD5L0lmsvAs4A5jV1EgR8SjVf130+drCMzOzequlaOh0YC/gNWAuqe6h0+oZlJmZtZ0m7wgi4k3gmDaIxczM2kEtVUzsIOlBSc/n9p0lnV//0MzMrC3UUjR0HTAGWAIQEc/iOwQzs7VGLYlgvYiYXNZtaT2CMTOztldLIlggaVvyG8CSjgLmNT6KmZl1FrX8fPRbwLXAIEmvAa8Ax9U1KjMzazO1/GpoFvAFSeuT7iA+JD0j8J/TmJmtBaoWDeU6hcZI+rmkg0gJ4ETgZfw2sJnZWqOxO4KbgXeBx0l/RPMD0pvCR0bEtPqHZmZmbaGxRLBNRAwFkHQ96QHxlhHxcZtEZmZmbaKxXw0taWiIiGXAXCcBM7O1T2N3BH8lqeGPZAT0zO0i/afMBnWPzszM6q5qIoiIrm0ZiBVQpeqXwVUwm7WxWl4oMzOztZgTgZlZwTkRmJkVnBOBmVnBORGYmRWcE4GZWcE5EZiZFZwTgZlZwTkRmJkVnBOBmVnBORGYmRWcE4GZWcE5EZiZFZwTgZlZwTkRmJkVnBOBmVnBNfYPZWZWBP6DoMLzHYGZWcE5EZiZFZwTgZlZwTkRmJkVnBOBmVnBORGYmRVc3RKBpBslvSnp+ZJuG0t6QNLM/L1RveZvZma1qecdwVjg4LJu5wEPRsT2wIO53czM2lHdEkFEPAK8U9b5cOCm3HwTcES95m9mZrVp62cEm0TEvNz8BrBJtQElnSZpiqQpb731VttEZ2ZWQO32sDgiAqj6DntEXBsRIyJiRP/+/dswMjOzYmnrRDBf0qYA+fvNNp6/mZmVaetEcC9wYm4+EbinjedvZmZl6vnz0XHA48COkuZK+gZwKXCQpJnAF3K7mZm1o7pVQx0Rx1bp9fl6zdPMzJrPbxabmRWcE4GZWcH5H8oKoco/UFX/9a6ZFYjvCMzMCs6JwMys4JwIzMwKzonAzKzgnAjMzArOicDMrOCcCMzMCs7vEVgbqfYug5m1N98RmJkVnBOBmVnBuWiovahKUUm0YbUPlWJoy/mbWYfgOwIzs4JzIjAzKzgnAjOzgnMiMDMrOD8stoLwewxm1TgRmLUZJyPrmFw0ZGZWcE4EZmYF50RgZlZwTgRmZgXnRGBmVnBOBGZmBedEYGZWcE4EZmYF50RgZlZwTgRmZgXnRGBmVnBOBGZmBedEYGZWcMWsfbQj/F+wmVkH4TsCM7OCcyIwMyu4YhYNmRWW/xzHVtcudwSSDpb0oqSXJZ3XHjGYmVnS5olAUlfgP4EvAYOBYyUNbus4zKwDkVb/WJtpjzuC3YGXI2JWRHwK3Aoc3g5xmFmbU5WPtaf2eEawOTCnpH0usEf5QJJOA07LrYslvdgK8+4HLKjatyNchUiNx1j/+dc6ZP3ibN3t0Pw4234/WD3GjrEvlndp232zZeugfY+f2rVVnANrGajDPiyOiGuBa1tzmpKmRMSI1pxma+sMMYLjbE2dIUboHHF2hhih48XZHkVDrwFblLQPyN3MzKwdtEcieArYXtLWktYFjgHubYc4zMyMdigaioilkr4N/C/QFbgxIqa30exbtaipTjpDjOA4W1NniBE6R5ydIUboYHEqXL+OmVmhuYoJM7OCcyIwMyu4QiSCjlClhaTZkp6TNE3SlNxtY0kPSJqZvzfK3SXpP3K8z0oaXjKdE/PwMyWduIYx3SjpTUnPl3RrtZgk7ZqX+eU8bot+GF4lzgslvZbX5zRJh5T0G5Pn+aKk0SXdK+4H+YcLT+but+UfMTQ3xi0kPSxphqTpks7O3TvU+mwkzg6zPiX1kDRZ0p9yjBc1Nl1J3XP7y7n/Vi2NvZXiHCvplZJ1OSx3b7djqEkRsVZ/SA+k/wJsA6wL/AkY3A5xzAb6lXX7N+C83Hwe8JPcfAjw36RXLvcEnszdNwZm5e+NcvNGaxDTfsBw4Pl6xARMzsMqj/ulVozzQuA7FYYdnLdxd2DrvO27NrYfALcDx+TmXwJ/34IYNwWG5+bewEs5lg61PhuJs8Osz7x8vXJzN+DJvNwVpwucAfwyNx8D3NbS2FspzrHAURWGb7djqKlPEe4IOnKVFocDN+Xmm4AjSrr/OpIngA0lbQqMBh6IiHci4l3gAeDgls48Ih4B3qlHTLnfBhHxRKQ9+tcl02qNOKs5HLg1Ij6JiFeAl0n7QMX9IF9hHQiMr7DMzYlxXkQ8nZsXAS+Q3qLvUOuzkTirafP1mdfJ4tzaLX+ikemWruPxwOdzHM2KvTkxNhFnNe12DDWlCImgUpUWje349RLA/ZKmKlWfAbBJRMzLzW8Am+TmajG3xbK0Vkyb5+Z6xvrtfIt9Y0ORSwvi7AssjIilrRVnLprYhXSF2GHXZ1mc0IHWp6SukqYBb5JOjH9pZLorYsn938tx1P04Ko8zIhrW5Y/yurxSUvfyOGuMpy2OIaAYiaCj2CcihpNqXf2WpP1Ke+aM36F+y9sRYypxNbAtMAyYB/y0XaPJJPUC7gDOiYj3S/t1pPVZIc4OtT4jYllEDCPVPLA7MKg946mmPE5JOwFjSPHuRiru+V77RVibIiSCDlGlRUS8lr/fBO4i7dzz8+0f+fvNPHi1mNtiWVorptdyc11ijYj5+SBcDlxHWp8tifNt0i36OmXdm01SN9LJ9ZaIuDN37nDrs1KcHXF95rgWAg8DIxuZ7opYcv8+OY42O45K4jw4F79FRHwC/IqWr8u6HkPlC7BWf0hvT88iPSxqeDA0pI1jWB/oXdL8R1LZ/mWs+iDx33LzX7PqQ6XJsfKh0iukB0ob5eaN1zC2rVj1IWyrxcTqD7oOacU4Ny1p/gdSWTDAEFZ9QDiL9HCw6n4A/JZVH0Ke0YL4RCrDvaqse4dan43E2WHWJ9Af2DA39wQmAYdWmy7wLVZ9WHx7S2NvpTg3LVnXVwGXdoRjqNFlqcdEO9qH9LT+JVI54w/aYf7b5J3tT8D0hhhI5ZgPAjOB35dsfJH+vOcvwHPAiJJpnUJ66PUycPIaxjWOVAywhFT++I3WjAkYATyfx/k5+U32Vorz5hzHs6S6qkpPZD/I83yRkl9ZVNsP8vaZnOP/LdC9BTHuQyr2eRaYlj+HdLT12UicHWZ9AjsDz+RYngcuaGy6QI/c/nLuv01LY2+lOB/K6/J54Des/GVRux1DTX1cxYSZWcEV4RmBmZk1wonAzKzgnAjMzArOicDMrOCcCMzMCs6JYC0mqW9JDYhvlNQuuVDSjPaOr5ykrVRSw2gd59Nd0u/zuvhaWb+xeT11z+39lGqO7SHpz5KGlgx7rqRrcvN3cv9pkp6SdEKF+Z4kabM1iPt6SYNbOr5ZNU4Ea7GIeDsihkV6Bf6XwJW5eRiwvB1Dq4uSt06bsgtAXje3Vei/jPS77hUi4mPgHOAXuTrhzYHTgfMknQ4cBOye1+/nSb8ZL3cS0OJEEBGnRkSHS+CtSVLX9o6hiJwIiqurpOtyPer3S+oJIGlbSf+TK8ebJGm1Ol6U6q6/UdJESbMknZW7r3JFn6+SL8zNE3MFXFMkvSBpN0l35vrXLymZ/DqSbsnDjJe0Xh5/V0l/yHH9b0m1DRMlXaX0Hw9nl8W5saS7c+VfT0jaWdJnSC/57Jav3retsG6uAv6hPLFExP+QXmw7AbgSuDBSbZHfJ1WJ/H4e7v2IuKl0XElHkV4OuiXPt6ekC/Ldw/OSrs0JZp3cbVQe78eSflSyrCMqbI/Zkv5Nqd76yZK2y92/rFQ//zP5DmiT3H3/kjvFZyT1lrSppEdyt+cl7ZuH/aKkxyU9Lem3SnUUNczzotz9uYb9RFJ/pf9dmJ7vYF6V1C/3+3qOb5qkaxpO+pIWS/qppD8BIyVdqvR/Cc9KurzC9rHWVo+31PzpeB9K6psnVdewFBiW228Hvp6bHwS2z817AA9VmdYfSa/u9yPV69KN1auB+A7pZAkwkZV18Z8NvE6qG7876W3hvnn8APbOw92Yp9Etz69/7v414MaS6f6iyjL/DPjn3HwgMC03jwImVBlnLHBUnvfJeflml/TfLMf7cG7fAHi3xm0wkVXfJt24pPlm4Mu5eQipeugvkN5cXbfS+CXjzmbl2+onNCwbqbqChpdGTwV+mpv/q2Qd9yJVufBPJdPoSvqvgn7AI8D6ufv3WPn27GzgzNx8BnB9bv45MCY3H5y3Zz/gc3m+3XK/XwAn5OYA/iY39yW9BdwQ94btfewU4VPrrbStfV6JiGm5eSqwVb7a2wv4rVb+EVL3CuMC3BepUq1PJL3JyuqVG3Nv/n4OmB65emZJs0iVbi0E5kTEY3m43wBnAf8D7AQ8kOPqSroyb1CpeAdSdQpfBYiIh5SemWxQQ5wAPwbuAe4r7RgRr0t6CJhQ43Qac4Ck7wLrkeqbmQ78V0RMl3RznsfISHXmN2VcyfeVuXkAcFu+e1qXVIcNwGPAFZJuAe6MiLmSngJuVKqQ7u6ImCZpf9KfuzyW1/u6wOMl82yoWG8q8JXcvA9wJKQ7KEnv5u6fB3YFnsrT6snKCviWkSrBg1SF9MfADZIm0Drr2ZrgRFBcn5Q0LyMdmF1Idb4Pa8H465DuMkqLG3tUGWd52fjLWbkvltd5EqTy9ukRMbJKLB/UEG+zRMRMpXrm/6ZC7+X5Q0S8n4s2tomIWbVOX1IP0lXxiIiYk4vQStfXUFJi/EytIVdo/hlwRUTcm4uaLswxXyrpPlJ9O49JGh0RjyhVjf7XwFhJVwDvkurYP7bKPBu2YcP2b4yAmyJiTIV+H0fEshzbUkm7kxLHUcC3SXdzVkd+RmArRCrjfkXS0bDiP1b/qhmTmA98Jl95dyfVxNhcW0pqOOH/LfAoqaigf0N3Sd0kDalhWpOA4/I4o4AFUfYfAU34Ealoqik/Bv6z4W5DUi9V+NUQsIhU5AIrT/oL8p3YUQ0DSfoK6Q5hP+BnkjasIYavlXw3XLX3YWW1xSeWTH/biHguIn4CPAUMkjQQmB8R1wHXk/4a9Alg75JnDutL2qGJOB4jJ09JXyQVT0EqcjxK6RlNw/ObgeUj53XRJyJ+R6oFtTn7n7WQ7wis3HHA1ZLOJ5XN30qqNbVJEbFE0sWkGiBfA/7cgvm/SPrjnhuBGcDVEfGp0sPW/5DUh7TfXkUqSmnMhaTijmeBDyk5GdYiF9E8TTopNuZqUln7U5KWkGpJrfTHLmOBX0r6iFS//nWkmiXfIJ2QyQ9WLwU+n+8Ufg78ew2xb5SX8xOg4Qr+QlIx37ukGjG3zt3PkXQA6a5mOql642OAc3P8i0nl929JOgkYp5X/snU+qdbOai7Kwx9PSkhvAIsiYkHep+6X1CWvo28Br5aN3xu4J98xCfjHJpbbWoFrHzXr5CTNJhUxLegAsXQHluUinpGkRD6sncOyJviOwMxa05bA7fmq/1Pg79o5HquB7wjMzArOD4vNzArOicDMrOCcCMzMCs6JwMys4JwIzMwK7v8DauOYRMdayGcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# creation of 2 distinct categories that seem useful (sleeping time and awake time)\n",
    "df['categories'] = df['awake']\n",
    "\n",
    "a = df.loc[df['categories'] == 0, 'value']\n",
    "b = df.loc[df['categories'] == 1, 'value']\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "a_heights, a_bins = np.histogram(a)\n",
    "b_heights, b_bins = np.histogram(b, bins=a_bins)\n",
    "\n",
    "width = (a_bins[1] - a_bins[0])/6\n",
    "\n",
    "ax.bar(a_bins[:-1], a_heights*100/a.count(), width=width, facecolor='yellow', label='Sleeping time')\n",
    "ax.bar(b_bins[:-1]+width, (b_heights*100/b.count()), width=width, facecolor='red', label ='Awake time')\n",
    "ax.set_title('Histogram of NYC taxi passengers in different categories')\n",
    "\n",
    "plt.xlabel('The number of NYC taxi passengers')\n",
    "plt.ylabel('Record counts')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:26:22.675817Z",
     "start_time": "2020-04-08T03:26:22.672380Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1\n",
       "1    1\n",
       "2    0\n",
       "3    0\n",
       "Name: awake, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['awake'].head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:26:22.888841Z",
     "start_time": "2020-04-08T03:26:22.884682Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    2014-07-01 00:00:00\n",
       "1    2014-07-01 00:30:00\n",
       "2    2014-07-01 01:00:00\n",
       "3    2014-07-01 01:30:00\n",
       "Name: timestamp, dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['timestamp'].head(4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above result, we can conclude:\n",
    "- more people take taxi when they are awake"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Preparation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Standardizing data and spliting them into the train data and the test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:26:23.793480Z",
     "start_time": "2020-04-08T03:26:23.781892Z"
    }
   },
   "outputs": [],
   "source": [
    "#select and standardize data\n",
    "data_n = df[['value', 'hours', 'awake']]\n",
    "standard_scaler = preprocessing.StandardScaler()\n",
    "np_scaled = standard_scaler.fit_transform(data_n)\n",
    "data_n = pd.DataFrame(np_scaled)\n",
    "\n",
    "#important parameters and train/test size\n",
    "prediction_time = 1 \n",
    "testdatasize = 1000\n",
    "unroll_length = 50\n",
    "testdatacut = testdatasize + unroll_length  + 1\n",
    "\n",
    "#train data\n",
    "x_train = data_n[0:-prediction_time-testdatacut].to_numpy()\n",
    "y_train = data_n[prediction_time:-testdatacut  ][0].to_numpy()\n",
    "\n",
    "#test data\n",
    "x_test = data_n[0-testdatacut:-prediction_time].to_numpy()\n",
    "y_test = data_n[prediction_time-testdatacut:  ][0].to_numpy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Unroll data: for the data point at index i, create a sequence from i to (i+unroll_length)\n",
    "\n",
    "for example, if unroll_length=5\n",
    "\n",
    "[[1]\n",
    "\n",
    " [2]\n",
    " \n",
    " [3]\n",
    " \n",
    " [4]\n",
    " \n",
    " [5]\n",
    " \n",
    " [6]\n",
    " \n",
    " [7]\n",
    " \n",
    " [8]\n",
    " \n",
    " [9]\n",
    " \n",
    " [10]\n",
    " \n",
    "...\n",
    "\n",
    "]\n",
    "\n",
    "will be unrolled to create following sequences\n",
    "\n",
    "[[ 1,  2,  3,  4,  5]\n",
    "\n",
    " [ 2,  3,  4,  5,  6]\n",
    " \n",
    " [ 3,  4,  5,  6,  7]\n",
    " \n",
    " [ 4,  5,  6,  7,  8]\n",
    "\n",
    " [ 5,  6,  7,  8,  9]\n",
    " \n",
    " [ 6,  7,  8,  9,  10]\n",
    " \n",
    " ...\n",
    " \n",
    " ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:26:24.269265Z",
     "start_time": "2020-04-08T03:26:24.247614Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x_train (9218, 50, 3)\n",
      "y_train (9218,)\n",
      "x_test (1000, 50, 3)\n",
      "y_test (1000,)\n"
     ]
    }
   ],
   "source": [
    "#unroll: create sequence of 50 previous data points for each data points\n",
    "def unroll(data,sequence_length=24):\n",
    "    result = []\n",
    "    for index in range(len(data) - sequence_length):\n",
    "        result.append(data[index: index + sequence_length])\n",
    "    return np.asarray(result)\n",
    "\n",
    "# adapt the datasets for the sequence data shape\n",
    "x_train = unroll(x_train,unroll_length)\n",
    "x_test  = unroll(x_test,unroll_length)\n",
    "y_train = y_train[-x_train.shape[0]:]\n",
    "y_test  = y_test[-x_test.shape[0]:]\n",
    "\n",
    "# see the shape\n",
    "print(\"x_train\", x_train.shape)\n",
    "print(\"y_train\", y_train.shape)\n",
    "print(\"x_test\", x_test.shape)\n",
    "print(\"y_test\", y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Build Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Here we show an example of building a RNN network using Analytics Zoo Keras-Style API. \n",
    "There are three LSTM layers and one Dense layer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:26:25.928110Z",
     "start_time": "2020-04-08T03:26:24.917010Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "creating: createZooKerasSequential\n",
      "creating: createZooKerasLSTM\n",
      "creating: createZooKerasDropout\n",
      "creating: createZooKerasLSTM\n",
      "creating: createZooKerasDropout\n",
      "creating: createZooKerasDense\n",
      "creating: createRMSprop\n",
      "creating: createZooKerasMeanSquaredError\n"
     ]
    }
   ],
   "source": [
    "# Build the model\n",
    "model = Sequential()\n",
    "\n",
    "model.add(LSTM(\n",
    "    input_shape=(x_train.shape[1], x_train.shape[-1]),\n",
    "    output_dim=20,\n",
    "    return_sequences=True))\n",
    "model.add(Dropout(0.2))\n",
    "\n",
    "model.add(LSTM(\n",
    "    10,\n",
    "    return_sequences=False))\n",
    "model.add(Dropout(0.2))\n",
    "\n",
    "model.add(Dense(\n",
    "    output_dim=1))\n",
    "\n",
    "model.compile(loss='mse', optimizer='rmsprop')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:27:09.298137Z",
     "start_time": "2020-04-08T03:26:25.929316Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training begins.\n",
      "Training completed.\n",
      "CPU times: user 79.2 ms, sys: 8.74 ms, total: 88 ms\n",
      "Wall time: 43 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# Train the model\n",
    "print(\"Training begins.\")\n",
    "model.fit(\n",
    "    x_train,\n",
    "    y_train,\n",
    "    batch_size=1024,\n",
    "    nb_epoch=20)\n",
    "print(\"Training completed.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prediction\n",
    "\n",
    "* BigDL models make inferences based on the given data using model.predict(val_rdd) API. A result of RDD is returned. predict_class returns the predicted points. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:27:10.070727Z",
     "start_time": "2020-04-08T03:27:09.299578Z"
    }
   },
   "outputs": [],
   "source": [
    "# create the list of difference between prediction and test data\n",
    "diff=[]\n",
    "ratio=[]\n",
    "predictions = model.predict(x_test)\n",
    "p = predictions.collect()\n",
    "for u in range(len(y_test)):\n",
    "    pr = p[u][0]\n",
    "    ratio.append((y_test[u]/pr)-1)\n",
    "    diff.append(abs(y_test[u]- pr))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* plot the prediction and the reality"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:27:10.205676Z",
     "start_time": "2020-04-08T03:27:10.072092Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the predicted values and actual values (for the test data)\n",
    "fig, axs = plt.subplots()\n",
    "\n",
    "axs.plot(p,color='red', label='predicted values')\n",
    "axs.plot(y_test,color='blue', label='actual values')\n",
    "axs.set_title('the predicted values and actual values (for the test data)')\n",
    "\n",
    "plt.xlabel('test data index')\n",
    "plt.ylabel('number of taxi passengers after scaling')\n",
    "plt.legend(loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Set the distance thresold for anomalies. There're many ways to select this threshold. Here we set the expected proportion of anomalies among the entire set. Then we set the threshold as the minimum value of top N distances (here N is the total number of anomalies, i.e. anomaly fraction * total no. of samples)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:27:10.211625Z",
     "start_time": "2020-04-08T03:27:10.206823Z"
    }
   },
   "outputs": [],
   "source": [
    "# An estimation of anomly population of the dataset\n",
    "outliers_fraction = 0.01\n",
    "# select the most distant prediction/reality data points as anomalies\n",
    "diff = pd.Series(diff)\n",
    "number_of_outliers = int(outliers_fraction*len(diff))\n",
    "threshold = diff.nlargest(number_of_outliers).min()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* plot anomalies in the test data throughout time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:27:10.511090Z",
     "start_time": "2020-04-08T03:27:10.212648Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the difference and the threshold (for the test data)\n",
    "fig, axs = plt.subplots()\n",
    "\n",
    "axs.plot(diff,color='blue', label='diff')\n",
    "axs.set_title('the difference between the predicted values and actual values with the threshold line')\n",
    "\n",
    "plt.hlines(threshold, 0, 1000, color='red', label='threshold')\n",
    "plt.xlabel('test data index')\n",
    "plt.ylabel('difference value after scaling')\n",
    "plt.legend(loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:27:10.532237Z",
     "start_time": "2020-04-08T03:27:10.512219Z"
    }
   },
   "outputs": [],
   "source": [
    "# data with anomaly label (test data part)\n",
    "test = (diff >= threshold).astype(int)\n",
    "# the training data part where we didn't predict anything (overfitting possible): no anomaly\n",
    "complement = pd.Series(0, index=np.arange(len(data_n)-testdatasize))\n",
    "last_train_data= (df['datetime'].tolist())[-testdatasize]\n",
    "# add the data to the main\n",
    "df['anomaly27'] = complement.append(test, ignore_index='True')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* plot anomalies in the test data throughout time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-08T03:27:10.834691Z",
     "start_time": "2020-04-08T03:27:10.533609Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualisation of anomaly throughout time (viz 1)\n",
    "fig, ax = plt.subplots(figsize=(12, 5))\n",
    "\n",
    "a = df.loc[df['anomaly27'] == 1, ['datetime', 'value']] #anomaly\n",
    "ax.plot(df['datetime'], df['value'], color='blue', label='no anomaly value', linewidth=0.6)\n",
    "ax.scatter(a['datetime'].tolist(),a['value'], color='red', label='anomalies value')\n",
    "ax.set_title('the number of nyc taxi value throughout time (with anomalies scattered)')\n",
    "\n",
    "max_value = df['value'].max()\n",
    "min_value = df['value'].min()\n",
    "plt.vlines(last_train_data, min_value, max_value, color='black', linestyles = \"dashed\", label='test begins')\n",
    "plt.xlabel('datetime')\n",
    "plt.xticks(rotation=45)\n",
    "plt.ylabel('the number of nyc taxi value')\n",
    "plt.legend(loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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